Hacker news job listing scraper and parser
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
Nodes used (11)
- Manual Trigger
n8n-nodes-base.manualTrigger - Split Out
n8n-nodes-base.splitOut - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set - Filter
n8n-nodes-base.filter - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Code
n8n-nodes-base.code - Limit
n8n-nodes-base.limit - Airtable
n8n-nodes-base.airtable
What it does
This automated workflow scrapes and processes the monthly "Who is Hiring" thread from Hacker News, transforming raw job listings into structured data for analysis or integration with other systems. Perfect for job seekers, recruiters, or anyone looking to monitor tech job market trends. How it works Automatically fetches the latest "Who is Hiring" thread from Hacker News Extracts and cleans relevant job posting data using the HN API Splits and processes individual job listings into structured format Parses key information like location, role, requirements, and company details Outputs clean, structured data ready for analysis or export Set up steps 1. Configure API access to Hacker News (no authentication required) 2. Follow the steps to get your cURL command from https://hn.algolia.com/ 3. Set up desired output format (JSON structured data or custom format) 4. Optional: Configure additional parsing rules for specific job listing information 5. Optional: Set up integration with preferred storage or analysis tools The workflow transforms unstructured job listings into clean, structured data following this pattern: - Input: Raw HN thread comments - Process: Extract, clean, and parse text - Output: Structured job listing data This template saves hours of manual work collecting and organizing job listings, making it easier to track and analyze tech job opportunities from Hacker News's popular monthly hiring threads.